Cayuga Lake Watershed Networkhttp://hdl.handle.net/1813/110452016-12-10T05:04:17Z2016-12-10T05:04:17ZSummary of Cayuga Lake and its watersheds 1927 to 2008Bouldin, Davidhttp://hdl.handle.net/1813/305612015-12-02T21:34:43Z2012-12-05T00:00:00ZSummary of Cayuga Lake and its watersheds 1927 to 2008
Bouldin, David
The data base consisted of Cayuga Lake data from 1927, 1968-1974 and 2000 to 2008 and water shed data from 1972 through 2008 – overall on the order of more than 2000 samples. An excel spreadsheet was developed to analyze this data as a calcium-carbonate-phosphate system and interactions with biomass and chemical precipitation.
First, as is well known, the Lake is a huge reservoir containing an amount of water equal to 10 years of runoff. This means consequences of changes in watersheds occur gradually but once changed are difficult to reverse. Second, calcium carbonate chemistry of the lake has not changed 1927 to 2008. ALL (1927 to 2008) of the calcium carbonate parameters fit nicely on one cluster of points around one line. The stream water deviates slightly from the lake data but clearly belongs to the same “family”.
Third, for the stream data, concentrations of phosphate, nitrate and sediment increases as flow increases and the relation between flow and concentrations has not changed 1972-2008. Fourth, the most reactive phosphate fraction in lake samples (1968-1974 plus 1999-2008) fits within a framework defined by slightly soluble calcium phosphates. As pH increases, the solubility decreases. This provides a feed back mechanism which reduces the impact of inputs of phosphate; photosynthesis reduces the total inorganic carbon in solution and increases pH which in turn decreases solubility and slows photosynthesis. Stream samples do not conform to this framework. Fifth, the concentration of most soluble phosphate fractions of stream water, mixed with inputs from waste water treatment and lake source cooling, decreased by a factor of more than 2 as measured by sampling within 100 m from stream input and to about the concentration of bulk lake in samples at 1000 m from inlet. This is hypothesized due to some unknown combination of dispersion, biological immobilization and precipitation. Clearly, the changes within 1000 m from the inputs transformed the water into something very nearly like bulk lake water. Don’t mess with the inlet until we understand these transformations. Sixth, for future monitoring of streams, the Impact of flow and seasonal effects must include samples from all flow regimes and seasons or else misleading / useless data will be collected.
Seventh, there are many discrepancies between observations and expectations based on solubility of mineral forms of calcium carbonates and calcium phosphates. But these relationships are not happenstance – so what is the basic chemistry?
In 1972 a project was initiated to study the impact of human activity on water quality in NY with partial funding from the Rockefeller Foundation. Over the next 5 years a multidisciplinary group studied social, economic, and environmental aspects of human activities in central NY and summarized their findings in a book which influenced and influences applied research and extension. I was very fortunate to be part of that work and subsequently I have continued to study water quality in central NY periodically to 2008. During the initial work, Dr R.T. Oglesby introduced us to the limnology of lakes (Cayuga Lake in particular) and I have continued to work on understanding interactions between Cayuga Lake and its watersheds.
See also the report "Lake and Phosphorus Inputs: A Focus on Management": http://hdl.handle.net/1813/30560
2012-12-05T00:00:00ZLake and Phosphorus Inputs: A Focus on ManagementBouldin, DavidCapener, H.R.Casler, G.L.Durfee, A.E.Loehr, R.C.Ogelsby, R.T.Young, R.J.http://hdl.handle.net/1813/305602015-07-08T02:55:01Z1977-01-01T00:00:00ZLake and Phosphorus Inputs: A Focus on Management
Bouldin, David; Capener, H.R.; Casler, G.L.; Durfee, A.E.; Loehr, R.C.; Ogelsby, R.T.; Young, R.J.
Dissolved phosphorus is the element that most influences the productivity of freshwater lakes and impoundments. Algae affect the quality and appearance of water. They affect the level of fish production. They also affect the costs of filtering water supplies for domestic and industrial use. This summary report is intended for use by decision makers in government, the leaders of various organizations and agencies, and interested citizens. It has attempted to point out that there are differences in appropriate control strategies that can be applied and differences in perceptions of the individual families and communities involved. Consequently, flexible policies and institutional arrangements well be needed and can be used without irreversible damage being done to lakes during a progressive “test-and-evaluate” approach.
1977-01-01T00:00:00ZCayuga LakeWater Quality Monitoring, Related to the LSC Facility: 2011DeFrees Hydraulics Laboratory, School of Civil and Environmental Engineering, Cornell Universityhttp://hdl.handle.net/1813/286392015-07-07T23:46:54Z2012-04-02T00:00:00ZCayuga LakeWater Quality Monitoring, Related to the LSC Facility: 2011
DeFrees Hydraulics Laboratory, School of Civil and Environmental Engineering, Cornell University
This report summarizes the results of water quality monitoring efforts related to Cornell University’s Lake Source Cooling (LSC) facility in 2011. This monitoring program began in 1998 and was performed annually by the Upstate Freshwater Institute (UFI) until 2006. In 2007 water sample collection and generation of the annual report was taken over by the De Frees Hydraulics Laboratory of the School of Civil and Environmental Engineering at Cornell University. UFI continues to carry out all laboratory analysis. The format of this report is largely based on previous annual reports written by UFI.
2012-04-02T00:00:00ZCayuga LakeWater Quality Monitoring, Related to the LSC Facility: 2010DeFrees Hydraulics Laboratory, School of Civil and Environmental Engineering, Cornell Universityhttp://hdl.handle.net/1813/224782015-07-08T08:26:17Z2011-03-29T00:00:00ZCayuga LakeWater Quality Monitoring, Related to the LSC Facility: 2010
DeFrees Hydraulics Laboratory, School of Civil and Environmental Engineering, Cornell University
This report summarizes the results of water quality monitoring efforts related to Cornell University’s
Lake Source Cooling (LSC) facility in 2010. This monitoring program began in 1998 and was
performed annually by the Upstate Freshwater Institute (UFI) until 2006. In 2007 water sample collection
and generation of the annual report was taken over by the DeFrees Hydraulics Laboratory of
the School of Civil and Environmental Engineering at Cornell University. UFI continues to carry out
all laboratory analysis. The format of this report is largely based on previous annual reports written
by UFI.
2011-03-29T00:00:00ZCayuga Lake (New York) Water Quality Monitoring Data Related to the Cornell Lake Source Cooling Facility, 1998-2009Adams, Jameshttp://hdl.handle.net/1813/151982015-08-13T19:55:54Z2010-07-12T14:55:07ZCayuga Lake (New York) Water Quality Monitoring Data Related to the Cornell Lake Source Cooling Facility, 1998-2009
Adams, James
Cornell University has been monitoring ambient conditions in Cayuga Lake since 1998 to provide a record of water quality conditions in the lake before and after the Lake Source Cooling facility startup in 2000. The primary objective is to conduct an ambient water quality monitoring program focusing on the southern portion of Cayuga Lake to support long-term records of trophic state indicators, including concentrations of total phosphorus, soluble reactive phosphorus, chlorophyll-a, turbidity, and other measures of water quality. In addition to this water quality monitoring data set, the complete collection of annual reports is available online: http://hdl.handle.net/1813/8353
This data package must be uncompressed for use. In addition to the data described above, it includes an Ecological Metadata Language (EML) record, which describes in considerable detail the contents of the data tables, methods, usage rights, and other information. All users of these data are strongly encouraged to review this EML record.
2010-07-12T14:55:07ZCayuga LakeWater Quality Monitoring, Related to the LSC Facility: 2009DeFrees Hydraulics Laboratory, School of Civil and Environmental Engineering, Cornell Universityhttp://hdl.handle.net/1813/151962015-07-08T06:22:44Z2010-07-08T16:50:15ZCayuga LakeWater Quality Monitoring, Related to the LSC Facility: 2009
DeFrees Hydraulics Laboratory, School of Civil and Environmental Engineering, Cornell University
This report summarizes the results of water quality monitoring efforts related to Cornell University’s Lake Source Cooling (LSC) facility in 2009. This monitoring program began in 1998 and was performed annually by the Upstate Freshwater Institute (UFI) until 2006. In 2007 water sample collection and generation of the annual report was taken over by the DeFrees Hydraulics Laboratory of the School of Civil and Environmental Engineering at Cornell University. UFI continues to carry out all laboratory analysis. The format of this report is largely based on previous annual reports written by UFI.
2010-07-08T16:50:15ZCayuga Lake Water Quality Monitoring, Related to the LSC Facility: 2008DeFrees Hydraulics Laboratory, School of Civil and Environmental Engineering, Cornell Universityhttp://hdl.handle.net/1813/147222015-07-08T01:54:34Z2010-04-01T16:00:21ZCayuga Lake Water Quality Monitoring, Related to the LSC Facility: 2008
DeFrees Hydraulics Laboratory, School of Civil and Environmental Engineering, Cornell University
This report summarizes the results of water quality monitoring efforts related to the LSC
facility in 2008. This monitoring program began in 1998 and was performed annually by the Upstate Freshwater Institute (UFI) until 2006. In 2007 water sample collection and
generation of the report was taken over by the DeFrees Hydraulics Laboratory of the School of Civil and Environmental Engineering at Cornell University. UFI continues to carry out all laboratory analysis. The format of this report is largely based on previous annual reports written by UFI.
2010-04-01T16:00:21ZCayuga Lake Water Quality Monitoring, Related to the LSC Facility: 2007DeFrees Hydraulics Laboratory, School of Civil and Environmental Engineering, Cornell Universityhttp://hdl.handle.net/1813/147212015-07-08T01:49:12Z2010-04-01T15:58:27ZCayuga Lake Water Quality Monitoring, Related to the LSC Facility: 2007
DeFrees Hydraulics Laboratory, School of Civil and Environmental Engineering, Cornell University
This report summarizes the results of water quality monitoring efforts related to the LSC
facility in 2007. This monitoring program began in 1998 and was performed annually by the Upstate Freshwater Institute (UFI) until 2006. In 2007 water sample collection and generation of the report was taken over by the DeFrees Hydraulics Laboratory of the School of Civil and Environmental Engineering at Cornell University. UFI continues to carry out all laboratory analysis. This report is largely based on previous annual reports written by UFI.
2010-04-01T15:58:27ZCayuga Lake Water Quality Monitoring, Related to the LSC Facility: 2006Upstate Freshwater Institutehttp://hdl.handle.net/1813/147202015-07-08T01:49:11Z2010-04-01T15:55:08ZCayuga Lake Water Quality Monitoring, Related to the LSC Facility: 2006
Upstate Freshwater Institute
The primary objective is to conduct an ambient water quality monitoring program
focusing on the southern portion of Cayuga Lake to support long-term records of trophic
state indicators, including concentrations of phosphorus and chlorophyll, and Secchi disc transparency, and other measures of water quality.
2010-04-01T15:55:08ZCayuga Lake Water Quality Monitoring, Related to the LSC Facility: 2005Upstate Freshwater Institutehttp://hdl.handle.net/1813/147192015-07-08T01:49:10Z2010-04-01T15:53:29ZCayuga Lake Water Quality Monitoring, Related to the LSC Facility: 2005
Upstate Freshwater Institute
The primary objective is to conduct an ambient water quality monitoring program
focusing on the southern portion of Cayuga Lake to support long-term records of trophic
state indicators, including concentrations of phosphorus and chlorophyll, and Secchi disc transparency, and other measures of water quality.
2010-04-01T15:53:29ZCayuga Lake Water Quality Monitoring, Related to the LSC Facility: 2004Upstate Freshwater Institutehttp://hdl.handle.net/1813/147182015-07-08T01:54:34Z2010-04-01T15:52:00ZCayuga Lake Water Quality Monitoring, Related to the LSC Facility: 2004
Upstate Freshwater Institute
The primary objective is to conduct an ambient water quality monitoring program
focusing on the southern portion of Cayuga Lake to support long-term records of trophic
state indicators, including concentrations of phosphorus and chlorophyll, and Secchi disc transparency, and other measures of water quality.
2010-04-01T15:52:00ZCayuga Lake Water Quality Monitoring, Related to the LSC Facility: 2003Upstate Freshwater Institutehttp://hdl.handle.net/1813/147172015-07-08T01:49:43Z2010-04-01T15:50:31ZCayuga Lake Water Quality Monitoring, Related to the LSC Facility: 2003
Upstate Freshwater Institute
The primary objective is to conduct an ambient water quality monitoring program
focusing on the southern portion of Cayuga Lake to support long-term records of trophic
state indicators, including concentrations of phosphorus and chlorophyll, and Secchi disc transparency, and other measures of water quality.
2010-04-01T15:50:31ZCayuga Lake Water Quality Monitoring, Related to the LSC Facility: 2002Upstate Freshwater Institutehttp://hdl.handle.net/1813/147162015-07-08T01:49:08Z2010-04-01T15:48:54ZCayuga Lake Water Quality Monitoring, Related to the LSC Facility: 2002
Upstate Freshwater Institute
The primary objective is to conduct an ambient water quality monitoring program
focusing on the southern portion of Cayuga Lake to support long-term records of trophic
state indicators, including concentrations of phosphorus and chlorophyll, and Secchi disc transparency, and other measures of water quality.
2010-04-01T15:48:54ZCayuga Lake Water Quality Monitoring, Related to the LSC Facility: 2001Upstate Freshwater Institutehttp://hdl.handle.net/1813/147152015-07-08T01:58:18Z2010-04-01T15:47:22ZCayuga Lake Water Quality Monitoring, Related to the LSC Facility: 2001
Upstate Freshwater Institute
The primary objective is to conduct an ambient water quality monitoring program
focusing on the southern portion of Cayuga Lake to support long-term records of trophic
state indicators, including concentrations of phosphorus and chlorophyll, and Secchi disc transparency, and other measures of water quality.
2010-04-01T15:47:22ZCayuga Lake Water Quality Monitoring, Related to the LSC Facility: 2000Upstate Freshwater Institutehttp://hdl.handle.net/1813/147142015-07-08T01:56:40Z2010-04-01T15:45:56ZCayuga Lake Water Quality Monitoring, Related to the LSC Facility: 2000
Upstate Freshwater Institute
The primary objective is to conduct an ambient water quality monitoring program
focusing on the southern portion of Cayuga Lake to support long-term records of trophic
state indicators, including concentrations of phosphorus and chlorophyll, and Secchi disc transparency, and other measures of water quality.
2010-04-01T15:45:56ZCayuga Lake Water Quality Monitoring, Related to the LSC Facility: 1999Upstate Freshwater Institutehttp://hdl.handle.net/1813/147132015-07-08T05:59:39Z2010-04-01T15:44:16ZCayuga Lake Water Quality Monitoring, Related to the LSC Facility: 1999
Upstate Freshwater Institute
The primary objective is to conduct an ambient water quality monitoring program
focusing on the southern portion of Cayuga Lake to support long-term records of trophic
state indicators, including concentrations of phosphorus and chlorophyll, and Secchi disc transparency, and other measures of water quality.
2010-04-01T15:44:16ZCayuga Lake Water Quality Monitoring, Related to the LSC Facility: 1998Upstate Freshwater Institutehttp://hdl.handle.net/1813/147122015-07-08T05:52:59Z2010-04-01T15:42:28ZCayuga Lake Water Quality Monitoring, Related to the LSC Facility: 1998
Upstate Freshwater Institute
The primary objective is to conduct an ambient water quality monitoring program
focusing on the southern portion of Cayuga Lake to support long-term records of trophic
state indicators, including concentrations of phosphorus and chlorophyll, and Secchi disc transparency, and other measures of water quality.
2010-04-01T15:42:28ZGuide to surface water quality monitoring in the Cayuga Lake watershedAnderson, SharonCushman, SusanHaith, DougJohnston, RoxanneMawdsley, JohnVawter, A. ThomasCayuga Lake Watershed Network, Inc.Cayuga Lake Watershed Intermunicipal Organizationhttp://hdl.handle.net/1813/133702015-09-02T18:53:33Z2009-08-10T19:33:25ZGuide to surface water quality monitoring in the Cayuga Lake watershed
Anderson, Sharon; Cushman, Susan; Haith, Doug; Johnston, Roxanne; Mawdsley, John; Vawter, A. Thomas; Cayuga Lake Watershed Network, Inc.; Cayuga Lake Watershed Intermunicipal Organization
The Cayuga Lake Watershed (CLW) is home to many municipal agencies, educational institutions, non-governmental environmental organizations and citizens? groups with significant interests in the quality of the lake and its tributaries. As a result, numerous studies and monitoring programs have been, and will continue to be, conducted throughout the watershed. However, water quality monitoring studies have differed widely in purpose and scope, corresponding to the interests and funding of scientific investigators, the information needs of specific agencies and the enthusiasm of volunteers. Therefore, any plan for a comprehensive monitoring plan becomes very complicated due to the immense diversity of interests and study questions that drive water quality monitoring in the CLW. The unfeasibility of a monitoring plan lead to the creation of this Guide to Surface Water Quality Monitoring in Cayuga Lake Watershed, which achieves some of the goals of a comprehensive plan while still accommodating the needs and scopes of current and future monitoring activities. The Guide provides an introduction to study design, five objectives for CLW monitoring and the types of sampling programs that could meet the objectives, and an overview of a data clearinghouse begun as part of this project. Appendices provide supporting information such as questions to inform study design, sample field data sheets and explanations of key parameters suggested in the Guide.
2009-08-10T19:33:25ZTrophic State, Tripton, Pelagic Versus Near-Shore, and Modeling Issues for Cayuga Lake, NY.Upstate Freshwater Institutehttp://hdl.handle.net/1813/130912015-07-08T02:55:02Z2008-07-01T00:00:00ZTrophic State, Tripton, Pelagic Versus Near-Shore, and Modeling Issues for Cayuga Lake, NY.
Upstate Freshwater Institute
An analysis of limnological and input monitoring data for Cayuga Lake, NY is presented that addresses differences in metrics of trophic state and turbidity between pelagic waters and a shallow (< 6 m) near-shore area (the shelf) that receives multiple inputs, within the context of the effects of tripton and mixing processes and modeling needs. The analysis is based on a combination of long-term monitoring and shorter-term studies, including: (1) 10 to 20 years of measurements of concentrations of chlorophyll a [Chl], total phosphorus [TP], and other forms of P; (2) 10 years of measurements of Secchi disc depth (SD) and surrogates of light scattering, including turbidity [Tn], and the beam attenuation coefficient at 660 nm [c(660)]; (3) P and Tn measurements for point sources and tributaries that enter the shelf (4 to 10 y) and related constituent loading calculations; (4) a 40 site transect along the length of the lake (> 50 km) with rapid profiling instrumentation that resolves spatial patterns in thermal stratification, fluorometric chlorophyll a, and c(660); (5) light scattering versus gravimetric features of minerogenic tripton particles from tributary, shelf and pelagic sites; and (6) extent of mixing between the shelf and pelagic waters. Despite the P loading received from local sources, summer average [Chl] levels are not significantly higher on the shelf compared to bounding pelagic waters because of the high flushing rate of the shelf promoted by mixing with pelagic waters. The generally higher [TP], c(660), and Tn, and lower SD on the shelf compared to pelagic waters is shown to reflect inputs of clay minerals. The particle sizes of this material, which diminished SD and increased Tn and c(660) on the shelf, are shown to be in the 1 to 10 ?m range. Two water quality modeling initiatives are recommended to guide related management deliberations: (1) a lake-wide seasonal P or nutrient-phytoplankton model, with a twodimensional transport framework that would provide longitudinal and vertical resolution, and (2) a shorter-term three-dimensional model for the tripton component of c(660) that would simulate the dynamics and spatial details of the impacts of runoff events on clarity levels on the shelf.
2008-07-01T00:00:00ZThe Cayuga Lake Watershed Generalized Watershed Loading Function Geospatial Database [documentation]Hollingshead, NicholasAnderson, SharonHaith, Douglashttp://hdl.handle.net/1813/128582015-09-02T18:51:21Z2009-05-28T21:07:02ZThe Cayuga Lake Watershed Generalized Watershed Loading Function Geospatial Database [documentation]
Hollingshead, Nicholas; Anderson, Sharon; Haith, Douglas
This paper documents the database structure and methods used to create the Cayuga Lake Watershed Generalized Watershed Loading Function (GWLF) Geospatial Database.
2009-05-28T21:07:02ZWater Quality of the North End of Cayuga Lake: 1991-2006Makarewicz, Joseph C.Lewis, Theodore W.White, Danielhttp://hdl.handle.net/1813/121402015-07-08T03:12:51Z2007-08-01T00:00:00ZWater Quality of the North End of Cayuga Lake: 1991-2006
Makarewicz, Joseph C.; Lewis, Theodore W.; White, Daniel
Monitoring the water quality of Cayuga Lake has continued periodically from the early
1900s to the present. The Seneca County Soil and Water Conservation District
(SCSWCD) has collected limnological data on the waters of the northern end of Cayuga
Lake since 1991. This report updates the 1999 report (1991 to 1998) (Makarewicz et al.
1999) with data taken by the SCSWCD from 1999 to 2006. By considering nutrient and
chlorophyll a concentrations and water clarity measurements, we reviewed the current
data from Cayuga Lake with historical measurements of the lake.
2007-08-01T00:00:00ZSmart Steps for Clean WaterAnderson, SharonPayne, Hollyhttp://hdl.handle.net/1813/112262015-07-08T02:09:14Z2004-04-01T00:00:00ZSmart Steps for Clean Water
Anderson, Sharon; Payne, Holly
Smart Steps for Clean Water lists practical steps individuals, families and communities can take to protect clean water, with a focus on Cayuga Lake and its tributaries. Two pages of background information cover the importance of clean water, the value of a watershed approach and why individual actions are key. A map of the watershed and its context within the Great Lakes basin is followed by seven sections: Across the Land (stormwater runoff); In the Home (energy use and toxins); On the Lawn (an integrated pest management approach to lawns); From the Well (drinking water wells, Down the Drain (septic systems); In the Car (how transportation choices affect water); and On the Water (boating, fishing and other water-based recreation).
Each section has an explanation of the concern and specific steps that address that concern. The twenty-four page publication ends with information about sediment pollution and about an online companion "Pledge for Clean Water"
2004-04-01T00:00:00ZMonthly operation reports for the City of Ithaca (New York) Water Treatment Plant including raw Sixmile Creek water and finished drinking water for 2000-2010Baker, Charleshttp://hdl.handle.net/1813/112252015-08-13T20:09:33Z2008-08-13T18:55:10ZMonthly operation reports for the City of Ithaca (New York) Water Treatment Plant including raw Sixmile Creek water and finished drinking water for 2000-2010
Baker, Charles
The data posted here are used by the City of Ithaca Water Treatment Plant for process control and reporting purposes. Raw water (untreated Sixmile Creek) is monitored for key water quality and chemical properties. Some of the monitoring serves to track water quality trends for possible problems, other monitoring is done to aid in optimization of treatment, i.e. chemical applications. The water is monitored at various points throughout the treatment process to ensure that treatment goals are being achieved. Backwash, settling, filtration, and Vinegar Hill pump station are all examples of system components that are monitored. The finished water (treated tap water sampled at the water treatment plant) quality data collection is targeted to meeting basic standards as defined by the New York State Department of Health and U.S. Environmental Protection Agency. The City of Ithaca drinking water distribution system is divided into three parts: gravity, East Ithaca, and Mitchell Street. East Ithaca and Mitchell Street are two different pumping zones, each with multiple pumps. Flow and pressure are tracked independently to these different parts and pumps in the system. Finally, related information is collected about pump hours and chemical usage. This information is important for process control with regards to chemical treatment and can also serve as chemical and mechanical tracking. The posted data covers 2000-2010 (2010 data through March only). Available data, to be posted in the future, covers 1915 to the present.
This data package must be uncompressed for use. In addition to the data described above, it includes an Ecological Metadata Language (EML) record, which describes in considerable detail the contents of the data table, methods, usage rights, and other information. All users of these data are strongly encouraged to review this EML record.
2008-08-13T18:55:10ZWater quality data for southern tributaries to Cayuga Lake (Tompkins County, NY): 1987-1989Bouldin, Davidhttp://hdl.handle.net/1813/93362015-08-13T20:05:30Z2007-11-12T14:18:31ZWater quality data for southern tributaries to Cayuga Lake (Tompkins County, NY): 1987-1989
Bouldin, David
In the period 1987 to 1989 a stream water sampling and analysis program for the southern Cayuga Lake basin was carried out as a part of the continuing analysis of central NY water quality (Manuscripts and Water Quality Data for Watersheds and Lakes in Central NY, 1972-2003, online: http://hdl.handle.net/1813/2547; Water quality data for Fall Creek (Tompkins County, NY) sampling sites: 1972-1995, online: http://hdl.handle.net/1813/8148; Water quality data for well, stream, and seep samples from the Harford Teaching and Research Farm (Cortland County, NY): 1974-1994, online: http://hdl.handle.net/1813/8351; Water quality data for Kashong Creek Watershed (Ontario County and Yates County, NY) sampling sites: 1977-1979, online: http://hdl.handle.net/1813/8380). The samples were analyzed for suspended solids, NO3-N, and total dissolved phosphorus. The streams sampled were Fall Creek, Six Mile Creek, Cascadilla Creek and Inlet. Samples included all seasons and all flow regimes. On average, the NO3-N concentration in Fall Creek was 1.26 ppm, about twice that in the other streams. In the period 1972-1975, average NO3-N concentration was 0.97. The suspended solids in Six Mile Creek at Burns Road was higher than that in the other streams but at a location near its confluence with the lake (after passing though 2 impoundments), the concentration was comparable. Total dissolved P was lowest for inlet. In other locations (Six Mile Creek and Cascadilla) the TDP tended to increase after passage though City of Ithaca. A comparison of the suspended solids load in Fall Creek, 1973-1974 with 1987-1989 showed no important difference.
This data package must be uncompressed for use. In addition to the data described above, it includes an Ecological Metadata Language (EML) record, which describes in considerable detail the contents of the data table(s), methods, usage rights, and other information. All users of these data are strongly encouraged to review this EML record.
2007-11-12T14:18:31ZSixmile Creek: A Status ReportKarig, DanMiller, TodHackett, KateJohnston, Roxannahttp://hdl.handle.net/1813/83542015-07-08T01:39:47Z2007-05-01T00:00:00ZSixmile Creek: A Status Report
Karig, Dan; Miller, Tod; Hackett, Kate; Johnston, Roxanna
Sixmile Creek is unique in Tompkins County: it serves as the source of the City of Ithaca's drinking
water and is geomorphically very active. For these reasons, the number of studies, data collection
efforts, and management projects occurring along Sixmile Creek, and within the watershed, is
proportionally greater than that in most other creeks and watersheds in the County and even in the
Cayuga Lake watershed.
An increasing awareness of watershed issues among many stakeholders in the Sixmile Creek
watershed, with the leadership of Tompkins County, yielded questions about the effectiveness and
outcomes of the many highly localized and often uncoordinated channel management efforts scattered
throughout the watershed. In 2002, the Tompkins County Planning Department retained Milone and
MacBroom, Inc. (MMI) to complete a Flood Mitigation Needs Assessment for Sixmile Creek, which
suggested a more holistic approach to stream management and watershed needs (MMI, 2003). The
following year, the City of Ithaca invited various local agencies, municipalities and scientists to
participate in the "Sixmile Creek Partnership" in fulfillment of a grant obligation and to facilitate greater
information sharing and coordination of projects in the Sixmile watershed.
2007-05-01T00:00:00ZWater quality data for Fall Creek (Tompkins County, NY) sampling sites: 1972-1995Bouldin, Davidhttp://hdl.handle.net/1813/81482015-08-13T20:06:23Z2007-08-02T18:54:10ZWater quality data for Fall Creek (Tompkins County, NY) sampling sites: 1972-1995
Bouldin, David
This data base is a compilation of water quality data collected in the period 1972 through 1995 from the Fall Creek watershed (including USGS site 04234000) and its subwatersheds.
I am deeply grateful to the many research associates, graduate students, post docs and fellow faculty who helped collect and interpret the data.
In 1970 Cornell University received a grant from the Rockefeller Foundation to study runoff from land and its impact on water quality. A multidisciplinary team was developed and led by Professor Robert J Young. In 1975-6 this research was summarized in the following:
Johnson, Arthur H. 1975. Phosphorus export from the Fall Creek watershed. Ph D thesis. Cornell University Library, Ithaca NY.
Johnson, Arthur H., David R. Bouldin, Edward A. Goyette, and Anne Hedges. 1976. Phosphorus loss by stream transport from a rural watershed: Quantities, processes and sources. J. Environ Quality. 5:148-157.
Johnson, Arthur H. David R. Bouldin, Edward Goyette and Anne Hedges. 1976. Nitrate dynamics in Fall Creek New York. J Environ Quality. 5:386-391.
Johnson, Arthur H, David .R. Bouldin, Gary W. Hergert. 1975. Some observations concerning preparation and storage of stream samples for dissolved inorganic phosphorus. Water Resources Research. 11:559-562.
Porter, Keith S. and Robert J. Young eds. 1976. Nitrogen and phosphorus. Food production Waste and the Environment. Ann Arbor Science Inc. Ann Arbor Mi. (ISBN 0-250-40111-8)
Information Bulletin 127 (Bouldin, D.R. et al. Lakes and Phosphorus inputs. A Focus on Management. New York State College of Agriculture and Life Sciences. Cornell University, Ithaca NY).
Since the above project was finished, monitoring has continued at irregular intervals as financing became available. The archived files describe the results of analysis of over 3000 water samples, 1972- 1995, concerned with land runoff and the lakes in central NY. Major findings follow.
Three P fractions were measured: MRP, TDP and TP. MRP was measured on centrifuged samples without treatment and is presumed to be mostly inorganic P in solution. TDP is measured on centrifuged samples after oxidation of organic forms of P and hence is total P in solution. TP is particulate P plus TDP. Usually MRP and TDP are considered the major forms used by algae. (Porter, 1976 pp 61-120, Information Bulletin 127; see also ms2_anal, ms1_intP.doc at http://hdl.handle.net/1813/2547).
The average TDP in about 1500 samples from Fall Creek was 0.026 mg per liter, loading was about 4400 Kg P or about 0.13 kg/ha/year . About ? was MRP. Total P was about 0.140 mg/liter. Approximate sources of TDP are as follows: 50% from inactive agriculture and forest, the other 50% attributed to human activities of which about half was from diffuse sources and half from point sources. MRP concentrations in runoff from 16 subwatersheds varied from 0.006 to 0.050 mg/l. The TDP in Cayuga Lake ranges from 0.005 to 0.020 mg per liter. The TDP load in Kashong Creek (a tributary to Seneca Lake) was 0.25 kg/ha/year (about twice that from Fall Creek). (Porter, 1976 pp 61-120, Information Bulletin 127).
NO3 loading from Fall Creek is about 5.5 kg/ha /year; this is about 80% of the input of inorganic N in precipitation. This is a consequence of mosaic of sources varying widely in concentration. NO3 loading from 9 subwatersheds in Fall Creek varied from 1 to 7.7 kg/ha/year; no sample containing more than 10 ppm was found. (Porter 1976 pp 108-114).
Streams draining wooded areas without human habitations or active agriculture have NO3 concentrations similar to those found in the Catskill and Hubbard Brook in NY and loadings on the order of 20 % (~1 kg/ha/year) of the inputs of inorganic N from precipitation and (see ms5_biog.doc; online at http://hdl.handle.net/1813/2547) . There is presently no evidence of "forest saturation with N" in the Fall Creek watershed.
There are unlikely to be more than a very few small streams in the Fall Creek watershed in which the concentration of NO3-N will exceed the 10 ppm public health standard. However some aquifers under heavily fertilized fields (such as those on the Harford T&R Center) may contain more than the public health standard. (ms9_NO3.doc, ms5_biog.doc; online at http://hdl.handle.net/1813/2547).
Estimates of evapotranspiration (ET) for Fall Creek did not change statistically during the period 1926-1996 as estimated by annual precipitation input minus stream outflow, indicating that land use changes were not important in influencing ET in this watershed (ms_15_ET.doc; online at http://hdl.handle.net/1813/2547).
Cl was used as tracer of effects of road salt. During late spring-summer-early fall when road salt was not applied, the flow weighted Cl concentration increased from about 11 ppm in 1972 to 19 ppm in 2003. The Cl concentration of samples taken during snow melt or winter rain following applications of road salt were as high as 60 to 70 ppm Estimated flow weighted concentration of Cl delivered to Cayuga Lake is 24 ppm (ms16_slt.doc; online at http://hdl.handle.net/1813/2547).
The most important sampling protocols are the following: Concentrations of constituents in stream water vary seasonally and/or with flow intensity. This means that a) timing of sampling must be carried out during all seasons and over all flow regimes, b) amounts of various substances such as N, P and sediment transported to lakes and reservoirs are the product of flow multiplied by concentration which means that flow measurements must be made at the same time as samples are taken for analytical determination. With respect to TDP, point sources will be most evident under low flow conditions while non- point sources will be most evident under high flow conditions. Loading of non point sources is thus very much dependent on the 10 % to 20% of the time when highest flow conditions occur.
The most important conclusion I reached about watershed management is the following. Watershed management requires detailed knowledge about the cost of several management options per unit of decrease in loading/ concentration. Our experience was that the various human activities in sub watersheds were correlated with each other. This meant that statistical analysis of correlations between loading of N and P were useless in identifying the management options which would be most beneficial. This also means that commonly used procedures for validating models are useless in terms of developing management strategies (Ms12_mgm.doc; online at http://hdl.handle.net/1813/2547).
This data package must be uncompressed for use. In addition to the data described above, it includes an Ecological Metadata Language (EML) record, which describes in considerable detail the contents of the data table(s), methods, usage rights, and other information. All users of these data are strongly encouraged to review this EML record.
2007-08-02T18:54:10ZManuscripts and Water Quality Data for Watersheds and Lakes in Central NY, 1972-2003Bouldin, Davidhttp://hdl.handle.net/1813/25472015-07-08T16:36:22Z2005-12-13T16:50:58ZManuscripts and Water Quality Data for Watersheds and Lakes in Central NY, 1972-2003
Bouldin, David
David Bouldin, Emeritus Professor, Crop and Soil Science, Cornell University ---
E-mail: DRB6@Cornell.edu ---
In 1970 Cornell University received a grant from the Rockefeller Foundation to study runoff from land and its impact on water quality. A multidisciplinary team, focused on the lakes and landscapes in central NY, was developed and led by Professor Robert J Young. Since the above project was finished, I have continued to monitor Fall Creek, sub-watersheds in Fall Creek, other tributaries to Cayuga Lake and the aquifers on the Harford T and R center. (intro.doc)
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The appended files describe the results of analysis of over 3000 water samples, 1970- 2003, concerned with land runoff and the lakes in central NY. Major findings follow. References to the appropriate document can be found in the folder "mss"
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Three P fractions were measured: MRP, TDP and TP. MRP is measured on filtered samples without treatment and is presumed to be mostly inorganic P in solution. TDP is measured on filtered samples after oxidation of organic forms of P and hence is total Pin solution. TP is particulate P plus TDP. Usually MRP and TDP are considered the major forms used by algae. (ms1, ms2, ms13, ms14)
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The average TDP in about 1500 samples from Fall Creek was 0.026 mg per liter, loading was about 4400 Kg P or about 0.13 kg/ha/year . About ? was MRP. Total P was about 0.140 mg/liter. Approximate sources of TDP are as follows: 50% from inactive agriculture and forest, the other 50% attributed to human activities of which about half from diffuse sources and half from point sources. MRP concentrations in runoff from 16 subwatersheds, February to April of 1973, varied from 0.006 to 050 mg/l. The TDP in Cayuga Lake ranges from 0.005 to 0.020 mg per liter (ms3, ms4, ms5, ms6, ms7).
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NO3 loading from Fall Creek is about 5 kg/ha /year; this is about 80% of the input of inorganic N in precipitation. This is a consequence of mosaic of sources varying widely in concentration. NO3 loading from 9 subwatersheds in Fall Creek varied from 1 to 7.7 kg/ha/year; no samples containing more than 10 ppm was found. (ms8,ms5,ms9,ms6,ms7,ms10)
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Streams draining wooded areas without human habitations or active agriculture have NO3 concentrations and loadings on the order of 20 % of the inputs of inorganic N from precipitation (~1kg/ha/year). and similar to those found in the Catskill and Hubbard Brook in NY (ms5,ms6,ms7,ms9)
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There are unlikely to be more than a very few small streams in the Cayuga Lake watershed in which the concentration of NO3-N will exceed the 10 ppm public health standard. However aquifers under heavily fertilized fields may contain more than the public health standard. (ms9, ms5)
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Estimates of evapotranspiration (ET) for Fall Creek did not change statistically during the period 1926-1996 as estimated by annual precipitation input minus stream outflow, indicating that land use changes were not important in influencing ET.(ms_15)
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The most important sampling protocols are the following: Concentrations of constituents in stream water vary seasonally and with flow intensity. This means that a) timing of sampling must be carried out during all seasons and over all flow regimes, b) amounts of various substances such as N, P and sediment transported to lakes and reservoirs are the product of flow multiplied by concentration which means that flow measurements must be made at the same time as samples are taken for analytical determination and c) most of the water leaves the watershed during the 10 to 20 % of the time that highest flows occur; this means that timing of sampling must include frequent sampling during storm events. With respect to TDP, point sources will be most evident under low flow conditions while non- point sources will be most evident under high flow conditions. Loading of non point sources is thus very much dependent on the 10 % to 20% of the time when highest flow conditions occur. ---
The most important conclusion I reached about watershed management is the following. Watershed management requires detailed knowledge about the cost of several management options per unit of decrease in loading/ concentration. Our experience was that the various human activities in sub watersheds were correlated with each other. This meant that statistical analysis of correlations between loading of N and P were useless in identifying the management options which would be most beneficial. This also means that commonly used procedures for validating models are useless in terms of developing management strategies . (Ms12); Related data sets and other items:; Water quality data for Fall Creek (Tompkins County, NY) sampling sites: 1972-1995: http://hdl.handle.net/1813/8148; Water quality data for Kashong Creek Watershed (Ontario County and Yates County, NY) sampling sites: 1977-1979: http://hdl.handle.net/1813/8380; Water quality data for southern tributaries to Cayuga Lake (Tompkins County, NY): 1987-1989: http://hdl.handle.net/1813/9336; Water quality data for well, stream, and seep samples from the Harford Teaching and Research Farm (Cortland County, NY): 1974-1994: http://hdl.handle.net/1813/8351; Well Logs for Wells at the Cornell Department of Animal Science Harford Teaching and Research Center: http://hdl.handle.net/1813/8146
2005-12-13T16:50:58Z